Design, train, optimize, and deploy LLMs for offline and on-prem environments. Build end-to-end LLM pipelines: data preprocessing, SFT, LoRA/Q-LoRA, quantization, RAG, vector stores, MCP integrations, and inference systems. Implement document parsing, GPU optimization, CI/CD for local ML workflows, and maintain model registries and versioning in restricted networks.